Adaptive event triggered resilient control of ICPS under data injection attack
To defend the false data injection attack in an industrial cyber physicsal system(ICPS),this article studies the event-triggered mechanism of the resilient control,where the adaptive event-triggered mechanism is introduced to reduce the communication resource,and an attack estimator is also built to reduce the impact of attack on the system's performance.The relevant parameters of the estimator are derived by H∞ stability criterion,and the Lyapunov-Krasovskii function is used to get the quantitative relationship among event triggered parameters,the data injection attack,the network delay and the resilient controller.The simulation is conducted with MATLAB software to verify the performance of ICPS being based on the adaptive event triggered mechanism under data injection attack,where the two-degree-of-freedom mass-spring-damping series system is used as the plant.Simulation results show that the proposed mechanism,by using the combination of adaptive event triggered mechanism and attack estimator,can guarantee the system's stability and reduce communication resource.
ICPSdata injection attackadaptive event-triggeredresilient control
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